Key papers

• Contrastive Flow Matching (2025)
  George Stoica et al.
  8.12
• Diffusion Model-Based Image Editing: A Survey (2024)
  Yi Huang et al.
  5.97
• Training-Free Debiasing of Diffusion Models via CLIP-Guided Denoising Optimization (2026)
  Dain Kim et al.
  5.44
• PE-Field 4D: Video Generation Models as Canvas (2026)
  Yunpeng Bai et al.
  5.44
• eXact-Prior Variational Autoencoder (X-VAE): Learning Data-Adaptive Gaussian Mixture Priors for Latent Distributions (2026)
  Qijun Chen et al.
  4.95
• Adversarial Style Optimization: Enhancing VLM Jailbreaks by GRPO-based Stylistic Triggers Optimization (2026)
  Bingjun Luo et al.
  4.95
• Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On (2026)
  Yong Liu et al.
  4.95
• Visual Saliency Steering Distillation for Multimodal Chain-of-Thought Reasoning (2026)
  Hao Yang et al.
  4.95
• Spectral Prior for Reducing Exposure Bias in Diffusion Models (2026)
  Yuya Kobayashi et al.
  4.95
• fMRI2Face: A Full-HD fMRI-Video Dataset and Geometry-Guided Neural Decoding Framework for Dynamic Human Face Reconstruction (2026)
  Jingyang Huo et al.
  4.95
• SeasonStereo: Robust Dense Stereo Matching for Multi-Date Satellite Imagery via Generative AI (2026)
  \'Alvaro D\'iaz-Laureano et al.
  4.95
• LS-GAN: Human Motion Synthesis with Latent-space GANs (2025)
  Avinash Amballa et al.
  4.65
• A Mathematical Introduction to Diffusion Models (2026)
  Jianfeng Lu
  4.33
• Autoregressive latent diffusion for 3D molecule generation (2026)
  Federico Ottomano et al.
  4.33
• DELUGE: Towards Continental-Scale Daily Pluvial Flood Damage Prediction via Interpretable Conditioning on Foundation Model Embeddings (2026)
  Yuya Kawakami et al.
  4.33
• Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation (2026)
  Kaiwen Wang et al.
  4.33
• Music-JEPA: Learning a World Model of Sound from Action (2026)
  Ziyu Wang et al.
  4.33
• DCS: A Unified Conditional Sensitivity Framework for Cross-Modal Copyright Infringement Detection (2026)
  Xiafeng Man
  4.33
• Catastrophic Compositional Generation: Why Vanilla Diffusion Models Fail to Extrapolate (2026)
  Duncan Soiffer et al.
  4.27
• Anatomically-conditioned Latent Diffusion Model for Data-Efficient Few-Shot Cross-Domain 3D Glioma MRI Synthesis (2026)
  Salman Shaik et al.
  4.27
• SALAD: Skeleton-aware Latent Diffusion for Text-driven Motion Generation and Editing (2025)
  Seokhyeon Hong et al.
  4.25
• Diffusion Models Are Real-Time Game Engines (2024)
  Dani Valevski et al.
  3.97
• DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation (2025)
  Yunhan Yang et al.
  3.81
• Mamba-Diffusion Model with Learnable Wavelet for Controllable Symbolic Music Generation (2025)
  Jincheng Zhang et al.
  3.70
• Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model (2025)
  Jonas Brenig et al.
  3.70
• STAY Diffusion: Styled Layout Diffusion Model for Diverse Layout-to-Image Generation (2025)
  Ruyu Wang et al.
  3.59
• Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation (2025)
  Zahra TehraniNasab et al.
  3.59
• PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models (2025)
  Aleksandar Cvejic et al.
  3.53
• LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models (2026)
  Bowen Chen et al.
  3.45
• Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control (2024)
  Carles Domingo-Enrich et al.
  3.36
• The Latent Color Subspace: Emergent Order in High-Dimensional Chaos (2026)
  Mateusz Pach et al.
  3.23
• DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-transform (2024)
  Alexander Denker et al.
  3.20
• Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models (2024)
  Sooyeon Go and Kyungmook Choi and Minjung Shin and Youngjung Uh
  3.20
• Generation of non-stationary stochastic fields using Generative Adversarial Networks (2022)
  Alhasan Abdellatif et al.
  3.19
• Conditioning diffusion models by explicit forward-backward bridging (2024)
  Adrien Corenflos et al.
  3.14
• Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model (2024)
  Yuxuan Zhang et al.
  3.03
• Motion-Zero: Zero-Shot Moving Object Control Framework for Diffusion-Based Video Generation (2024)
  Changgu Chen et al.
  2.92
• Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction (2025)
  Xiao Li and Liangji Zhu and Anand Rangarajan and Sanjay Ranka
  2.87
• Conditional Stochastic Interpolation for Generative Learning (2023)
  Ding Huang et al.
  2.86
• PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples (2025)
  Junyu Liu et al.
  2.82
• TerraFusion: Joint Generation of Terrain Geometry and Texture Using Latent Diffusion Models (2025)
  Kazuki Higo et al.
  2.76
• Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution (2025)
  Zihang Liu and Zhenyu Zhang and Hao Tang
  2.76
• LightLab: Controlling Light Sources in Images with Diffusion Models (2025)
  Nadav Magar et al.
  2.76
• A Diffusion-Based Framework for Occluded Object Movement (2025)
  Zheng-Peng Duan et al.
  2.71
• Color Alignment in Diffusion (2025)
  Ka Chun Shum et al.
  2.65
• AnyMoLe: Any Character Motion In-betweening Leveraging Video Diffusion Models (2025)
  Kwan Yun et al.
  2.65
• Contrastive Learning Guided Latent Diffusion Model for Image-to-Image Translation (2025)
  Qi Si et al.
  2.65
• Enhancing Creative Generation on Stable Diffusion-based Models (2025)
  Jiyeon Han et al.
  2.65
• 3D MedDiffusion: A 3D Medical Latent Diffusion Model for Controllable and High-quality Medical Image Generation (2024)
  Haoshen Wang et al.
  2.60
• Compressed Image Generation with Denoising Diffusion Codebook Models (2025)
  Guy Ohayon et al.
  2.60
• Exploring the latent space of diffusion models directly through singular value decomposition (2025)
  Li Wang and Boyan Gao and Yanran Li and Zhao Wang and Xiaosong Yang and David A. Clifton and Jun Xiao
  2.60
• Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning (2025)
  Ziheng Cheng et al.
  2.60
• Ultrasound Image Generation using Latent Diffusion Models (2025)
  Benoit Freiche et al.
  2.60
• StyleBlend: Enhancing Style-Specific Content Creation in Text-to-Image Diffusion Models (2025)
  Zichong Chen et al.
  2.60
• Noise Controlled CT Super-Resolution with Conditional Diffusion Model (2025)
  Yuang Wang et al.
  2.60
• Is Noise Conditioning Necessary for Denoising Generative Models? (2025)
  Qiao Sun et al.
  2.60
• SelfAge: Personalized Facial Age Transformation Using Self-reference Images (2025)
  Taishi Ito et al.
  2.60
• Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image Diffusion (2025)
  Hao Wang et al.
  2.54
• TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration (2025)
  Yizhou Li et al.
  2.54
• Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling (2025)
  Fabio Merizzi et al.
  2.54